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Applied Statistical Inference

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Applied Statistical Inference

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Author : Leonhard Held
language : en
Publisher:
Release Date : 2013-10-31

Applied Statistical Inference written by Leonhard Held and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-31 with categories.

Applied Statistical Inference With Minitab

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Author : Sally A. Lesik
language : en
Publisher: CRC Press
Release Date : 2009-12-21

Applied Statistical Inference With Minitab written by Sally A. Lesik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-21 with Mathematics categories.

Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis.Illustr

Applied Statistical Inference

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Author : Leonhard Held
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-12

Applied Statistical Inference written by Leonhard Held and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-12 with Mathematics categories.

This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic are discussed in detail. In the second part, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice and prediction, are discussed both from a frequentist and a Bayesian perspective. A comprehensive appendix covers the necessary prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis.

Applied Statistical Inference With Minitab

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Author : Sally A. Lesik
language : en
Publisher:
Release Date : 2010

Applied Statistical Inference With Minitab written by Sally A. Lesik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematical statistics categories.

Applied Statistical Inference With Minitab Second Edition

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Author : Sally A. Lesik
language : en
Publisher: CRC Press
Release Date : 2018-12-07

Applied Statistical Inference With Minitab Second Edition written by Sally A. Lesik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Mathematics categories.

Praise for the first edition: "One of my biggest complaints when I teach introductory statistics classes is that it takes me most of the semester to get to the good stuff—inferential statistics. The author manages to do this very quickly....if one were looking for a book that efficiently covers basic statistical methodology and also introduces statistical software [this text] fits the bill." -The American Statistician Applied Statistical Inference with MINITAB, Second Edition distinguishes itself from other introductory statistics textbooks by focusing on the applications of statistics without compromising mathematical rigor. It presents the material in a seamless step-by-step approach so that readers are first introduced to a topic, given the details of the underlying mathematical foundations along with a detailed description of how to interpret the findings, and are shown how to use the statistical software program Minitab to perform the same analysis. Gives readers a solid foundation in how to apply many different statistical methods. MINITAB is fully integrated throughout the text. Includes fully worked out examples so students can easily follow the calculations. Presents many new topics such as one- and two-sample variances, one- and two-sample Poisson rates, and more nonparametric statistics. Features mostly new exercises as well as the addition of Best Practices sections that describe some common pitfalls and provide some practical advice on statistical inference. This book is written to be user-friendly for students and practitioners who are not experts in statistics, but who want to gain a solid understanding of basic statistical inference. This book is oriented towards the practical use of statistics. The examples, discussions, and exercises are based on data and scenarios that are common to students in their everyday lives.

Applied Statistical Inference With Minitab Second Edition

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Author : Sally A. Lesik
language : en
Publisher: CRC Press
Release Date : 2018-12-07

Foundations Of Applied Statistical Methods

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Author : Hang Lee
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-08

Foundations Of Applied Statistical Methods written by Hang Lee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-08 with Medical categories.

This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible. This text may be used as a self review guidebook for applied researchers or as an introductory statistical methods textbook for students not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination. The author has over twenty years of experience on applying statistical methods to study design and data analysis in collaborative medical research setting as well as on teaching. He received his PhD from University of Southern California Department of Preventive Medicine, received a post-doctoral training at Harvard Department of Biostatistics, has held faculty appointments at UCLA School of Medicine and Harvard Medical School, and currently a biostatistics faculty member at Massachusetts General Hospital and Harvard Medical School in Boston, Massachusetts, USA.

Topics On Methodological And Applied Statistical Inference

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Author : Tonio Di Battista
language : en
Publisher: Springer
Release Date : 2016-10-11

Topics On Methodological And Applied Statistical Inference written by Tonio Di Battista and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-11 with Mathematics categories.

This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena. Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the life and social sciences. The software packages used in the papers are made available by the authors. This book is a result of the 47th Scientific Meeting of the Italian Statistical Society, held at the University of Cagliari, Italy, in 2014.

Applied Statistics For Economists

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Author : Margaret Lewis
language : en
Publisher: Routledge
Release Date : 2012-11-12

Applied Statistics For Economists written by Margaret Lewis and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Business & Economics categories.

This book is an undergraduate text that introduces students to commonly-used statistical methods in economics. Using examples based on contemporary economic issues and readily-available data, it not only explains the mechanics of the various methods, it also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.

Applied Statistics

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Author : Franklin A. Graybill
language : en
Publisher:
Release Date : 1998

Applied Statistics written by Franklin A. Graybill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Statistics categories.

The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference. KEY TOPICS: This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applications, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book.

Applied Statistical Inference

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